Sambandh Dhal

Postdoctoral Associate opportunity at the University of Minnesota Twin Cities in the SAGE Lab (Sensing, AI & Green Systems Engineering), housed in the Department of Bioproducts and Biosystems Engineering. The position is centered on data-driven research connecting sensing, artificial intelligence, and decision-making across agricultural, food, biological, environmental, energy, and materials systems. The successful candidate will contribute to projects involving machine learning, deep learning, statistical modeling, multimodal sensing, data fusion, computer vision, spectral/imaging analytics, uncertainty quantification, time-series and sensor-data analysis, transfer learning, domain adaptation, and optimization under uncertainty. Research areas / keywords: computer science, machine learning, deep learning, computer vision, AI systems, sensing, hyperspectral imaging, remote sensing, IoT, statistical modeling, uncertainty quantification, agricultural engineering, environmental systems, biosystems engineering. Eligibility: Applicants should hold a Ph.D. in engineering, computer science, or a closely related field. Strong programming and computational skills in Python, MATLAB, R, or similar tools are expected. Experience with spectroscopy, hyperspectral imaging, remote sensing, IoT, computer vision, or AI applications in agricultural/environmental systems is especially welcome. Funding and appointment: This is a full-time postdoctoral associate role with an initial 1-year appointment and possible extension. The salary range is $62,232–$70,000. The post notes that the position is not eligible for H-1B or employment-based permanent residency sponsorship. How to apply: Search for Job ID 376248 in the University of Minnesota Jobs portal and apply via the posting. A direct application link is included in the post.

Sambandh Dhal, Tenure-Track Assistant Professor in the Department of Bioproducts and Biosystems Engineering at the University of Minnesota Twin Cities, is looking for motivated PhD and Master's students to join the SAGE Lab (Sensing, AI & Green Systems Engineering). The lab works at the intersection of artificial intelligence, data science, sensing, and sustainable systems. Research interests include machine learning and deep learning, uncertainty-aware AI and uncertainty quantification, computer vision and multimodal data fusion, hyperspectral imaging, spectroscopy, remote sensing, time-series and sensor-data analytics, AI for agriculture/food/environmental/ecosystem applications, and decision-making and optimization under uncertainty. Students with backgrounds in engineering, computer science, data science, agricultural/biological engineering, environmental science, or related quantitative fields are especially encouraged to apply. The opportunity is for graduate research at the University of Minnesota Twin Cities in the United States. To apply, email your CV and a brief description of your research interests to [email protected]. No deadline was stated in the post.